Simulation-driven fixed-order controller tuning via moment matching

Valentina Breschi, Simone Formentin, Giordano Scarciotti, Alessandro Astolfi

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

4 Citations (Scopus)

Abstract

We propose a controller tuning method based on the data-driven model reduction by moment matching theory. By selecting a reference closed-loop transfer function, a moment matching data-driven model reduction algorithm is used to synthesize a fixed-order controller, via the identification of a model of the inverse transfer function of the controller, i.e. the transfer function from the controlled input of the system to the mismatch error signal. The controller is finally obtained by inverting this transfer function. The fixed-order controller is guaranteed to match the steady-state behavior of the ideal controller at certain pre-selected frequencies. The effectiveness of the resulting design method is assessed on a control problem for the 48-th order model of the Los Angeles University Hospital building.
Original languageEnglish
Title of host publication2019 18th European Control Conference (ECC)
PublisherInstitute of Electrical and Electronics Engineers
Pages2307-2312
Number of pages6
ISBN (Electronic)978-3-907144-00-8
DOIs
Publication statusPublished - 15 Aug 2019
Externally publishedYes
Event18th European Control Conference, ECC 2019 - Naples, Italy, Naples, Italy
Duration: 25 Jun 201928 Jun 2019
Conference number: 18
https://www.ifac-control.org/events/european-control-conference-in-cooperation-with-ifac-ecc-2019

Conference

Conference18th European Control Conference, ECC 2019
Abbreviated titleECC 2019
Country/TerritoryItaly
CityNaples
Period25/06/1928/06/19
Other18th European Control Conference (ECC 2019) (in cooperation with IFAC)
Internet address

Keywords

  • Data-driven control
  • Moment Matching
  • Model reference control

Fingerprint

Dive into the research topics of 'Simulation-driven fixed-order controller tuning via moment matching'. Together they form a unique fingerprint.

Cite this